Nonparametric statistics and mixture models : a festschrift in honor of Thomas P. Hettmansperger, the Pennsylvania State University, USA, 23-24 May, 2008 / editors, David R. Hunter, Donald St. P. Richards, James L. Rosenberger.

Format:

Book

Conference/Event

Contributor:

Hunter, David R.

Richards, Donald St. P.

Rosenberger, James L.

Hettmansperger, Thomas P., 1939-

Pennsylvania State University. Department of Statistics.

Conference Name:

Nonparametric Statistics and Mixture Models : Past, Present, and Future (2008 : Pennsylvania State University)

Language:

English

Subjects (All):

Nonparametric statistics--Congresses.

Nonparametric statistics.

Physical Description:

1 online resource (370 p.)

Edition:

1st ed.

Place of Publication:

Hackensack, N.J. : World Scientific, 2011.

Language Note:

English

Summary:

This festschrift includes papers authored by many collaborators, colleagues, and students of Professor Thomas P Hettmansperger, who worked in research in nonparametric statistics, rank statistics, robustness, and mixture models during a career that spanned nearly 40 years. It is a broad sample of peer-reviewed, cutting-edge research related to nonparametrics and mixture models.

Contents:

PREFACE; A BIT OF HISTORY; PH.D. STUDENTS SUPERVISED BY THOMAS P. HETTMANSPERGER; CONTENTS; Estimation of Location and Scale Parameters Based on Kernel Functional Estimators; Bandwidth Selection in an EM-Like Algorithm for Nonparametric Multivariate Mixtures; Dealing with More Variables than the Sample Size: An Application to Shape Analysis; A Non-Parametric Cramér-von Mises Penalty Function Smoother; Statistical Models for Globular Cluster Luminosity Distribution; A Likelihood-Tuned Density Estimator Via a Nonparametric Mixture Model

Shock Models for Defaults: Parametric and Nonparametric ApproachesKernel Density Estimation with Missing Data: Misspecifying the Missing Data Mechanism; On the Non-Gaussian Asymptotics of the Likelihood Ratio Test Statistic for Homogeneity of Covariance; Deconvolution Density Estimation on the Space of Positive Definite Symmetric Matrices; Recent History Functional Linear Models; Rank-Based Estimation for Arnold-Transformed Data; QQ Plots for Assessing Symmetry Models; A Comparison of Estimators for the Variance of Cross-Validation Estimators of the Generalization Error of Computer Algorithms

Estimation of Hazard Functions with Shape Restrictions Using Regression SplinesMultivariate Models and the First Four Moments; An Empirical Study of Indirect Cross-Validation; Extensions of Reliability Theory; Rank Regression under Possible Model Misspecification; Iterative Conditional Maximization Algorithm for Nonconcave Penalized Likelihood; AUTHOR INDEX

Notes:

"Most of these papers were presented at an international conference to celebrate Tom's scientific contributions entitled 'Nonparametric Statistics and Mixture Models : Past, Present, and Future.' The conference was hosted by Penn State's Department of Statistics on May 23-24, 2008 ..."--Pref.

Includes bibliographical references and index.

ISBN:

1-283-14874-9

9786613148742

981-4340-56-1

OCLC:

742333488